Simon Hengchen
Om Simon Hengchen
- PhD i informationsvetenskap
- MSc i informationsvetenskap
- MA i germanska språk
Mitt forskningsfokus är lexikosemantiska förändringar: när, varför, och hur ord förändrar betydelse. Mer information på Språkbankens sida: click.
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A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper
Data
Simon Hengchen, Nina Tahmasebi
Journal of Open Humanities Data - 2021-01-01 -
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change
Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi
Proceedings of the Fourteenth Workshop on Semantic Evaluation (SemEval2020), Barcelona, Spain (Online), December 12, 2020. - 2020-01-01 -
Post-Evaluation Data for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change
Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi
Zenodo - 2020-01-01 -
Swedish Test Data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change
Detection
Nina Tahmasebi, Simon Hengchen, Dominik Schlechtweg, Barbara McGillivray, Haim Dubossarsky
Zenodo - 2020-01-01 -
Dataset for Temporal Analysis of English-French
Cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Proceedings of The 12th Language Resources and Evaluation Conference - 2020-01-01 -
The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing
Institute
Barbara McGillivray, Beatrice Alex, Sarah Ames, Guyda Armstrong, David Beavan, Arianna Ciula, Giovanni Colavizza, James Cummings, David De Roure, Adam Farquhar, Simon Hengchen, Anouk Lang, James Loxley, Eirini Goudarouli, Federico Nanni, Andrea Nini, Julianne Nyhan, Nicola Osborne, Thierry Poibeau, Mia Ridge, Sonia Ranade, James Smithies, Melissa Terras, Andreas Vlachidis, Pip Willcox
White paper - 2020-01-01 -
The Strengths and Pitfalls of Large-Scale Text Mining for Literary
Studies
Nina Tahmasebi, Simon Hengchen
Samlaren : tidskrift för svensk litteraturvetenskaplig forskning - 2019-01-01 -
From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR
post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, Varna, Bulgaria, 2–4 September, 2019 - 2019-01-01 -
GASC: Genre-Aware Semantic Change for Ancient
Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change - 2019-01-01 -
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic
Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019 / Anna Korhonen, David Traum, Lluís Màrquez (Editors) - 2019-01-01 -
Time for change: Evaluating models of semantic change without evaluation
tasks
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Cambridge Language Sciences Annual Symposium 2019 : Perspectives on Language Change - 2019-01-01 -
Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case
study
Mark J. Hill, Simon Hengchen
Digital Scholarship in the Humanities - 2019-01-01 -
When Does it Mean? Detecting Semantic Change in Historical
Texts
Simon Hengchen
- 2017-01-01